Single-nucleotide polymorphism discovery and panel characterization in the African forest elephant

Stephanie Bourgeois, Helen Senn, Jenny Kaden, John Taggart, Robert Ogden, Kathryn Jeffery, Nils Bunnefeld, Katharine Abernethy, Ross McEwing

Research output: Contribution to journalArticlepeer-review

Abstract / Description of output

The continuing decline in forest elephant (Loxodonta cyclotis) numbers due to poaching and habitat reduction is driving the search for new tools to inform management and conservation. For dense rainforest species, basic ecological data on populations and threats can be challenging and expensive to collect, impeding conservation action in the field. As such, genetic monitoring is being increasingly implemented to complement or replace more burdensome field techniques. Single nucleotide polymorphisms (SNPs) are particularly cost-effective and informative markers that can be used for a range of practical applications, including population census, assessment of human impact on social and genetic structure, and investigation of the illegal wildlife trade. SNP resources for elephants are scarce, but next generation sequencing provides the opportunity for rapid, inexpensive generation of SNP markers in non-model species. Here we sourced forest elephant DNA from 23 samples collected from 10 locations within Gabon, Central Africa, and applied double-digest restriction-site-associated DNA (ddRAD) sequencing to discover 31,851 tags containing SNPs that were reduced to a set of 1365 high-quality candidate SNP markers. A subset of 115 candidate SNPs was then selected for assay design and validation using 56 additional samples. Genotyping resulted in a high conversion rate (93%) and a low per allele error rate (0.07%). This study provides the first panel of 107 validated SNP markers for forest elephants. This resource presents great potential for new genetic tools to produce reliable data and underpin a step-change in conservation policies for this elusive species.
Original languageEnglish
Article numberece3.3854
Pages (from-to)2207-2217
Number of pages11
JournalEcology and Evolution
Issue number4
Early online date24 Jan 2018
Publication statusPublished - 19 Feb 2018


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